Fuzzy Partial Differential Equations and Relational Equations

Fuzzy Partial Differential Equations and Relational Equations
Author :
Publisher : Springer
Total Pages : 362
Release :
ISBN-10 : 9783540396758
ISBN-13 : 3540396756
Rating : 4/5 (58 Downloads)

Book Synopsis Fuzzy Partial Differential Equations and Relational Equations by : Masoud Nikravesh

Download or read book Fuzzy Partial Differential Equations and Relational Equations written by Masoud Nikravesh and published by Springer. This book was released on 2013-04-17 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: During last decade significant progress has been made in the oil indus try by using soft computing technology. Underlying this evolving technology there have, been ideas transforming the very language we use to describe problems with imprecision, uncertainty and partial truth. These developments offer exciting opportunities, but at the same time it is becoming clearer that further advancements are confronted by funda mental problems. The whole idea of how human process information lies at the core of the challenge. There are already new ways of thinking about the problems within theory of perception-based information. This theory aims to understand and harness the laws of human perceptions to dramatically im prove the processing of information. A matured theory of perception-based information is likely to be proper positioned to contribute to the solution of the problems and provide all the ingredients for a revolution in science, technology and business. In this context, Berkeley Initiative in Soft Computing (BISC), Univer sity of California, Berkeley from one side and Chevron-Texaco from another formed a Technical Committee to organize a Meeting entitled "State of the Art Assessment and New Directions for Research" to understand the signifi cance of the fields accomplishments, new developments and future directions. The Technical Committee selected and invited 15 scientists (and oil indus try experts as technical committee members) from the related disciplines to participate in the Meeting, which took place at the University of California, Berkeley, and March 15-17, 2002.


Fuzzy Partial Differential Equations and Relational Equations Related Books

Fuzzy Partial Differential Equations and Relational Equations
Language: en
Pages: 362
Authors: Masoud Nikravesh
Categories: Technology & Engineering
Type: BOOK - Published: 2013-04-17 - Publisher: Springer

DOWNLOAD EBOOK

During last decade significant progress has been made in the oil indus try by using soft computing technology. Underlying this evolving technology there have, b
Computational Science and Its Applications - ICCSA 2011
Language: en
Pages: 765
Authors: Beniamino Murgante
Categories: Computers
Type: BOOK - Published: 2011-06-15 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The five-volume set LNCS 6782 - 6786 constitutes the refereed proceedings of the International Conference on Computational Science and Its Applications, ICCSA 2
Fuzzy Differential Equations in Various Approaches
Language: en
Pages: 130
Authors: Luciana Takata Gomes
Categories: Mathematics
Type: BOOK - Published: 2015-09-07 - Publisher: Springer

DOWNLOAD EBOOK

This book may be used as reference for graduate students interested in fuzzy differential equations and researchers working in fuzzy sets and systems, dynamical
Partial Differential Equations
Language: en
Pages: 467
Authors: Walter A. Strauss
Categories: Mathematics
Type: BOOK - Published: 2007-12-21 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Our understanding of the fundamental processes of the natural world is based to a large extent on partial differential equations (PDEs). The second edition of P
35 Years of Fuzzy Set Theory
Language: en
Pages: 296
Authors: Chris Cornelis
Categories: Technology & Engineering
Type: BOOK - Published: 2010-10-14 - Publisher: Springer

DOWNLOAD EBOOK

This book is a tribute to Etienne E. Kerre on the occasion of his retirement on October 1st, 2010, after being active for 35 years in the field of fuzzy set the